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An evaluation of the MOOD set of object-oriented software metrics
Abstract
This paper describes the results of an investigation into a set of metrics for object-oriented design, called the MOOD metrics. The merits of each of the six MOOD metrics is discussed from a measurement theory viewpoint, taking into account the recognized object-oriented features which they were intended to measure: encapsulation, inheritance, coupling, and polymorphism. Empirical data, collected from three different application domains, is then analyzed using the MOOD metrics, to support this theoretical validation. Results show that (with appropriate changes to remove existing problematic discontinuities) the metrics could be used to provide an overall assessment of a software system, which may be helpful to managers of software development projects. However, further empirical studies are needed before these results can be generalized.
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Cited by
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Cerovsek, T. (2011) · Advanced Engineering Informatics · doi:10.1016/j.aei.2010.06.003 · Cited by 351
Fenton, N. E., & Neil, M. (2000) · Proceedings of the Conference on The Future of Software Engineering · doi:10.1145/336512.336588 · Cited by 317
Olague, H. M., Etzkorn, L. H., Gholston, S., & Quattlebaum, S. (2007) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2007.1015 · Cited by 304
Metadata
- Authors
- Harrison, R., Counsell, S. J., & Nithi, R. V.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 1998-06
- Volume
- 24
- Issue
- 6
- Pages
- 491-496
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2106615747
- Cited by
- 359
- References
- 0
- FWCI
- 22.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Harrison, R., Counsell, S. J., & Nithi, R. V. (1998). An evaluation of the MOOD set of object-oriented software metrics. IEEE Transactions on Software Engineering. https://doi.org/10.1109/32.689404
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